TY - JOUR
T1 - The ENDOMIX project
T2 - an interdisciplinary approach to understanding how real-life chemical mixtures target the immune system to trigger disease
AU - Zenclussen, Ana Claudia
AU - Belmar Erilkin, Valentina
AU - Böhmert, Linda
AU - Borilova Linhartova, Petra
AU - Braeuning, Albert
AU - Braun, Georg
AU - Chevrier, Cécile
AU - Duijts, Liesbeth
AU - Escher, Beate Isabella
AU - Felix, Janine
AU - Gómez-Olarte, Sergio
AU - Guxens, Mònica
AU - Herberth, Gunda
AU - Hilscherova, Klara
AU - Klanova, Jana
AU - Kohl, Yvonne
AU - Krischak, Katharina
AU - Lagadic-Gossmann, Dominique
AU - Langouët, Sophie
AU - Llop, Sabrina
AU - Lopez-Espinosa, Maria Jose
AU - Maitre, Léa
AU - Martin-Chouly, Corinne
AU - Meyer, Nicole
AU - Ouidir, Marion
AU - Pham, Thi Anh Mai
AU - Philippat, Claire
AU - Pieters, Raymond
AU - Pinel-Marie, Marie Laure
AU - Podechard, Normand
AU - Polte, Tobias
AU - Price, Elliott
AU - Robinson, Oliver
AU - Schubert, Kristin
AU - Schumacher, Anne
AU - Stojanovska, Violeta
AU - Tal, Tamara
AU - Vineis, Paolo
AU - van Vorstenbosch, Robert
AU - Vermeulen, Roel
AU - Warembourg, Charline
N1 - Publisher Copyright:
Copyright: © 2025 Zenclussen AC et al.
PY - 2025/11/21
Y1 - 2025/11/21
N2 - The true impact of endocrine disrupting chemicals (EDCs) on human health is far from being understood. Humans are exposed to mixtures of chemicals throughout their lives, yet regulations and most studies focus on individual chemicals. ENDOMIX takes a novel approach to identifying associations and causality between EDCs and adverse health outcomes by focusing on exposure to mixtures of EDCs over the life course, including windows of susceptibility, using human biomonitoring data from several European cohorts. We will model and measure how real-life EDC mixtures act together and target the immune system to initiate, trigger or maintain disease. Health effects will be investigated using pioneering methodologies ranging from high-throughput in vitro bioassays, sophisticated organoid and co-culture systems, to in vivo models. In combination, they will provide valuable information on mechanistic pathways and transgenerational effects of EDC exposure. We aim to identify biomarkers and patterns of chemical exposures that are easy to measure, available for large cohorts and indicative for adverse health outcomes. We will use in vitro, in silico and in vivo data to strengthen causal inference using a weight-of-evidence approach. Moreover, using novel text mining methods, we will create knowledge graphs to capture and summarize the complexity of biomechanistic information, which aids rapid risk assessments and the creation of network models. The knowledge generated by ENDOMIX will provide an evidence base for policy-making and also reach people of all ages to raise awareness of the risks of EDC exposure and encourage health-promoting behaviors.
AB - The true impact of endocrine disrupting chemicals (EDCs) on human health is far from being understood. Humans are exposed to mixtures of chemicals throughout their lives, yet regulations and most studies focus on individual chemicals. ENDOMIX takes a novel approach to identifying associations and causality between EDCs and adverse health outcomes by focusing on exposure to mixtures of EDCs over the life course, including windows of susceptibility, using human biomonitoring data from several European cohorts. We will model and measure how real-life EDC mixtures act together and target the immune system to initiate, trigger or maintain disease. Health effects will be investigated using pioneering methodologies ranging from high-throughput in vitro bioassays, sophisticated organoid and co-culture systems, to in vivo models. In combination, they will provide valuable information on mechanistic pathways and transgenerational effects of EDC exposure. We aim to identify biomarkers and patterns of chemical exposures that are easy to measure, available for large cohorts and indicative for adverse health outcomes. We will use in vitro, in silico and in vivo data to strengthen causal inference using a weight-of-evidence approach. Moreover, using novel text mining methods, we will create knowledge graphs to capture and summarize the complexity of biomechanistic information, which aids rapid risk assessments and the creation of network models. The knowledge generated by ENDOMIX will provide an evidence base for policy-making and also reach people of all ages to raise awareness of the risks of EDC exposure and encourage health-promoting behaviors.
KW - chemical mixtures
KW - EDC exposure
KW - endocrine disrupting chemicals
KW - immune system
KW - interdisciplinary approach
KW - long-term health effects
KW - science to policy translation
UR - https://www.scopus.com/pages/publications/105024115327
U2 - 10.12688/openreseurope.19088.2
DO - 10.12688/openreseurope.19088.2
M3 - Letter
C2 - 41346426
AN - SCOPUS:105024115327
SN - 2732-5121
VL - 4
JO - Open Research Europe
JF - Open Research Europe
M1 - 271
ER -